JOURNAL ARTICLE

Crack detection in building walls based on geometric and radiometric point cloud information

Paulina StałowskaCzesław SuchockiM. Rutkowska

Year: 2021 Journal:   Automation in Construction Vol: 134 Pages: 104065-104065   Publisher: Elsevier BV

Abstract

Symptoms such as cracks and other discontinuities of the scanned surface are indicators of poor technical conditions of buildings. The efficient detection of such changes using non-destructive remote measuring techniques is an important research topic because it may minimise the risk of building disasters. Terrestrial laser scanners register radiometric information of laser beams reflected from scanned surfaces (i.e., the intensity parameter), in addition to 3D spatial coordinates. Therefore, this study was focused on integrating geometric information with radiometric information of a point cloud in crack detection. The obtained results enabled the authors to develop a measurement methodology for detecting building wall cracks using a terrestrial laser scanner considering the technical parameters of the scanner and the 'geometric' conditions of the measurement. In addition, the influence of technical parameters of the scanner (such as laser spot size and laser beam divergence) on effective crack detection was discussed.

Keywords:
Point cloud Radiometric dating Point (geometry) Cloud computing Computer science Remote sensing Computer graphics (images) Environmental science Architectural engineering Computer vision Engineering Geometry Geology Mathematics

Metrics

66
Cited By
13.45
FWCI (Field Weighted Citation Impact)
48
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

3D Surveying and Cultural Heritage
Physical Sciences →  Earth and Planetary Sciences →  Geology
Infrastructure Maintenance and Monitoring
Physical Sciences →  Engineering →  Civil and Structural Engineering
Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering

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